senior applied scientist

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Senior Applied Scientist</b></h1><div><div><p>
Noida, Uttar Pradesh, India</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Oct 24, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1897599</b></div></div></div><div><div><div>
Work site</div><div><b>
Fully on-site</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
Are you an applied scientist interested in leveraging advanced AI technologies to enhance Office products across all devices and platforms? We invite you to join the OSSE ML team, where we are transforming Office products and developing large-scale machine learning solutions. Based in Noida, our mission is to advance the capabilities of machine learning in order to create user experiences that are both effective and inclusive, enabling Microsoft customers to fully realise the value of our offerings.</div><div><br>
As a <b>Senior Applied Scientist</b> within the OSSE ML team, you will operate in a dynamic environment and collaborate with teams across Microsoft, including Microsoft Research and various product groups. You will have opportunities to develop sophisticated models and contribute to premier user experiences within the shared Office product infrastructure. This position plays a pivotal role in fostering innovation and delivering modern, inclusive, and intelligent solutions used by millions globally.<br>
<br>
Microsoft is committed to empowering individuals and organisations worldwide to achieve their potential. Our employees unite with a growth mindset, striving to innovate, enable success for others, and work collaboratively toward common objectives. We continually uphold our core values of respect, integrity, and accountability, cultivating a culture of inclusion that supports everyone&rsquo;s ability to thrive both professionally and personally.</div><div></div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
</li><li>OR equivalent experience.</li></ul></li><li>
Proficiency in Python and relevant ML libraries (e.g., PyTorch).</li><li>
Experience with LLM/VLM/diffusion models (e.g., GPT, Deepseek-R1, Stable diffusion, Phi-V, Qwen).</li><li>
Technical background in coding and design, specifically in the development of AI models for scaled production services.</li><li>
Demonstrated success in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.</li></ul><div><b>
Preferred Qualifications:</b></div><div><ul><li>
Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.</li><li>
Leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.</li><li>
Grounded in growth mindset, and advocate for diversity and inclusion.</li><li>
Customer obsessed and passionate about product impact.</li></ul></div></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><ul><li>
You will work on machine learning (ML) projects across various domains like natural language processing (NLP), Vision and harness LLMs, VLMs, and Diffusion models to deliver visual AI solutions for our customers.</li><li>
You will get the opportunity of working in a fast-paced environment developing algorithms and techniques leveraging text, and images for analyzing and transforming content to build solutions that have the potential to transform people&rsquo;s lives.</li><li>
You will work with engineering partner teams on the model integration/flight/maintenance.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Senior Applied Scientist

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 8 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


<div><div>Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft&rsquo;s ecosystem including BizChat, Office and Windows.</div><div><br>
As a <b>Senior Applied Scientist</b> in the Turing team, you will be involved in tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more.<br>
<br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader"><b><br>
Responsibilities</b></h2><ul><li>
Driving projects from design through implementation, experimentation and finally shipping to our users. This requires deep dive into data to identify gaps, come up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setup the engineering pipeline or infrastructure to run them.</li><li>
Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets.</li><li>
Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration.</li><li>
This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics predictive analytics, research)
<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
</li><li>OR equivalent experience.</li></ul></li><li>
Prior experience with data analysis or understanding, looking at data from a large scale systems to identify patterns or create evaluation datasets.</li><li>
Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Experience in pytorch or tensorflow is a bonus.</li><li>
Ability to communicate technical details clearly across organizational boundaries.</li></ul><div><div><b>
Other Requirements:</b></div><div><br>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</div><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><div><ul><li>
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
<ul><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
</li><li>OR equivalent experience.</li></ul></li><li>
3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li></ul></div><div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div>

Oracle

<div><p>Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our <b>AI Science team </b>pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale.
</p><p>We&rsquo;re looking for an experienced <b>Sr. Applied Science (IC3) </b>with deep hand-on experience in <b>Generative AI and Computer Vision </b>area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies.
</p><p>As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale.<br>
</p><p></p><p>is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services.
</p><p><b>Key Responsibilities
</b></p><ul><li>Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models.
</li><li>Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective.
</li><li>Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance.
</li><li>Analysis of ML models, and optimizing models for accuracy and latency.
</li><li>Large-scale training &amp; production deployment with ML models.
</li><li>Own data analysis, feature engineering, technique selection &amp; implementation, debugging, and maintenance of production model.
</li><li>Experience implementing machine learning algorithms or research papers from scratch to production.
</li><li>Work with large, complex data sets.
</li><li>Proactively identify the technical issues/bugs and provide innovative solutions.
</li><li>File patent and publication as by product of solving complex business problems
</li><li>Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required.
</li><li>Leverage Oracle Cloud technology.
</li></ul><p><b>Preferred Qualifications
</b></p><p><b>Ph.D. </b>(preferred) or Master&rsquo;s in Computer Science, Machine Learning, Computer Vision, or related field.
</p><ul><li>PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments
</li></ul><p>Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification.
</p><p>Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models.
</p><ul><li>Expert in at least one high level language such as Python/Java/C++
</li><li>Practical experience in ML algorithm design, model training and production deployment using microservices architecture
</li><li>Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology.
</li><li>Experience or willingness to learn and work in Agile and iterative development processes.
</li><li>Strong drive to learn and master new technologies and techniques.
</li><li>Deep understanding of data structures, algorithms, and excellent problem-solving skills.
</li><li>You enjoy a fast-paced work environment.</li></ul></div>
<br><div><p>Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned.</p></div>

Amazon

Senior Applied Scientist, Generative AI Innovation Center <p>Job ID: Amazon Web Services Singapore Private Limited</p> Overview <p>Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.</p> Responsibilities <ul> <li>Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges</li> <li>Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production</li> <li>Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization</li> <li>Provide customer and market feedback to product and engineering teams to help define product direction</li> </ul> BASIC QUALIFICATIONS <ul> <li>PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master's degree plus 10 years of relevant work experience</li> <li>5+ years of hands on experience with Python to build, train, and evaluate models</li> <li>5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing</li> <li>2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.</li> <li>Scientific publication track record at top-tier AI/ML/NLP conferences or journals</li> </ul> PREFERRED QUALIFICATIONS <ul> <li>Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization</li> <li>Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)</li> <li>Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools</li> <li>Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts</li> <li>Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.</li> <li>Track record of leading the design, implementation and delivery of scientifically- complex solutions that span multiple teams.</li> <li>Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.</li> </ul> <p>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.</p> <p>Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.</p><img src="https://www.jobg8.com/Tracking.aspx?BrmZWvLiuv6EConFlJJTNQyFUmlw37xbs" width="0" height="0" />

Senior Applied Scientist, Generative AI Innovation Center

<div><p>About the job
</p><p><b>Location: </b>Bangalore
<br>
<b>Career Level: </b>IC3
</p><p>Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our <b>AI Science team </b>pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale.
</p><p>We&rsquo;re looking for an experienced <b>Sr. Applied Science (IC3) </b>with deep hand-on experience in <b>Generative AI and Computer Vision </b>area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies.
</p><p>As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale.<br>
</p><p></p><p>is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services.
</p><p><b>Key Responsibilities
</b></p><ul><li>Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models.
</li><li>Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective.
</li><li>Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance.
</li><li>Analysis of ML models, and optimizing models for accuracy and latency.
</li><li>Large-scale training &amp; production deployment with ML models.
</li><li>Own data analysis, feature engineering, technique selection &amp; implementation, debugging, and maintenance of production model.
</li><li>Experience implementing machine learning algorithms or research papers from scratch to production.
</li><li>Work with large, complex data sets.
</li><li>Proactively identify the technical issues/bugs and provide innovative solutions.
</li><li>File patent and publication as by product of solving complex business problems
</li><li>Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required.
</li><li>Leverage Oracle Cloud technology.
</li></ul><p><b>Preferred Qualifications
</b></p><p><b>Ph.D. </b>(preferred) or Master&rsquo;s in Computer Science, Machine Learning, Computer Vision, or related field.
</p><ul><li>PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments
</li></ul><p>Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification.
</p><p>Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models.
</p><ul><li>Expert in at least one high level language such as Python/Java/C++
</li><li>Practical experience in ML algorithm design, model training and production deployment using microservices architecture
</li><li>Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology.
</li><li>Experience or willingness to learn and work in Agile and iterative development processes.
</li><li>Strong drive to learn and master new technologies and techniques.
</li><li>Deep understanding of data structures, algorithms, and excellent problem-solving skills.
</li><li>You enjoy a fast-paced work environment.</li></ul></div>
<br><div><p>Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned.</p></div>

Senior Applied & Data Scientist

<div><div>We turn everyday, messy queries into precise, actionable signals that power M365 Copilot and Microsoft Search. Language understanding (LU) sits on the critical path&mdash;it can run on every query&mdash;classifying intent and slots and shaping the downstream search plan across providers in the substrate stack. Our work ensures that all tool calls are appropriately scoped and parameterized so Copilot starts with the right grounding data, improving relevance and limiting hallucinations.</div><div><br>
As <b>Senior Applied Scientist - Language Understanding and Grounding Data Quality</b>, what you&rsquo;ll work on<br>
<br>
Large Language Model (LLM)/SLMpowered LU: intent &amp; slotting with calibrated confidence, optimized for low latency and high reliability in Copilot experiences<br>
<br>
MultiQuery (MQ) expansion: embrace ambiguity by exploring multiple interpretations and smarter fallbacks to boost recall without sacrificing precision.<br>
<br>
Finetuning &amp; eval tooling: Our team works to improve model quality specific to tool calling: Making sure the right tool is called in the right way at the right time to get the best grounding data possible. To do it, we post-train LLMs iterating fast with robust datasets, prompt evaluation, and shiproom discipline to raise quality week over week through leading edge fine-tuning<br>
<br>
Global reach: help bring LU to more languages and markets with compliant modeling practices and scalable i18n strategy.<br>
<br>
Deep partner collaboration: work side-by-side with Relevance and Reasoning on unified strategies that blend lexical + semantic retrieval.</div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Improve LLM capabilities influencing grounding data quality.</li><li>
Apply latest research to post-train LLMs.</li><li>
Build and evaluate metrics and reward models.</li><li>
Add new functionality and ensure high quality for customers using Copilot on their Business data.</li><li>
Design and implement scalable evaluation pipelines for LU and grounding quality</li><li>
Collaborate with cross-functional teams to define success metrics and drive continuous improvement in Copilot experiences</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
</li><li>OR equivalent experience.</li></ul></li><li>
Experience in Python, C# or similar programming languages for model development, training, and evaluation</li><li>
Experience with large-scale machine learning systems, including training, fine-tuning, and deployment of LLMs or similar models</li></ul><div><b>
Other Requirements:</b><br>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</div><ul><li><b>
Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Hands-on experience with prompt engineering, reinforcement learning from human feedback (RLHF), or reward modeling</li><li>
Familiarity with distributed systems and cloud platforms (e.g., Azure) for large-scale ML workloads</li></ul><div>
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
<br>
<br>
Microsoft will accept applications for the role until October 31, 2025.</div><br>
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Senior Applied Scientist - Language Understanding and Grounding Data Quality

Search 10000+ Senior applied scientist jobs near you this October. New roles added regularly across leading industries. Apply today.

10000 senior applied scientist jobs NEAR_ME

Senior Applied Scientist

Senior Applied Scientist

Senior Applied Scientist

Senior Applied Scientist

Senior Applied Scientist, Generative AI Innovation Center

Senior Applied & Data Scientist

Senior Applied Scientist - Language Understanding and Grounding Data Quality